Results 11 to 20 of about 1,559 (184)
Radar micro-Doppler signatures of drones and birds at K-band and W-band [PDF]
Samiur Rahman, Duncan A Robertson
exaly +2 more sources
Human Activity Classification Based on Dual Micro-Motion Signatures Using Interferometric Radar
Micro-Doppler signatures obtained from the Doppler radar are generally used for human activity classification. However, if the angle between the direction of motion and radar antenna broadside is greater than 60°, the micro-Doppler signatures generated ...
Shahid Hassan +5 more
doaj +1 more source
Realistic Simulation of Drone Micro-Doppler Signatures
This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation ...
Bennett, Cameron +2 more
openaire +1 more source
Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types
In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition of small drones.
Jun Yan +4 more
doaj +1 more source
Dynamic RCS Estimation according to Drone Movement Using the MoM and Far-Field Approximation [PDF]
Micro-Doppler signatures from the rotating propellers of a drone can be utilized to distinguish the drone from clutter or airborne organisms with similar radar cross section (RCS) levels, such as birds and bats.
Dong-Yeob Lee, Jae-In Lee, Dong-Wook Seo
doaj +1 more source
We propose in this work a dynamic group sparsity (DGS) based time-frequency feature extraction method for dynamic hand gesture recognition (HGR) using millimeter-wave radar sensors.
Chengjin Zhang +5 more
doaj +1 more source
In this study, the authors present the accurate imaging of the behavior of simultaneous operations of multiple low radar cross-section (RCS) aerial targets.
Harish C. Kumawat, A Arockia Bazil Raj
doaj +1 more source
Examination of Drone Micro-Doppler and JEM/HERM Signatures [PDF]
Radars monitoring small targets often must increase their integration times to achieve sufficient signal-to-noise ratio (SNR) for maintaining a viable track. These longer integation times can prevent micro-Doppler signature extraction and instead result in Doppler signatures consisting of spectral lines to the radar's higher-level processing.
Markow, John, Balleri, Alessio
openaire +2 more sources
Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis [PDF]
ObjectivesHuman motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure.
Ibrahim Alnujaim, Youngwook Kim
doaj +1 more source
A Trajectory-Driven 3D Channel Model for Human Activity Recognition
This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler signatures of indoor channels for ...
Ahmed Abdelgawwad +2 more
doaj +1 more source

